Skip to main content
×
Home

Editor's Introduction: Forecasting the 2008 National Elections

  • James E. Campbell (a1)
Abstract

This symposium presents 10 articles forecasting the 2008 U.S. national elections. The core of this collection is the seven presidential-vote forecasting models that were presented in this space before the 2004 election. Added to that group are one additional presidential forecasting model, one state-level elections forecasting model, and one model forecasting the relationship between congressional votes and seats won by the parties. Some of the articles that are focused on the presidential race have also taken the opportunity to forecast the congressional elections as well.

Copyright
References
Hide All
Campbell James E. 2008a. “Evaluating U.S. Presidential Election Forecasts and Forecasting Equations.” International Journal of Forecasting 24 (April–June): 259–71.
Campbell James E. 2008b. The American Campaign: U.S. Presidential Campaigns and the National Vote. College Station: Texas A&M University Press.
Campbell James E. 2005. “Introduction: Assessments of the 2004 Presidential Vote Forecasts.” PS: Political Science & Politics 38 (January): 23.
Campbell James E. 2000. “The Science of Forecasting Presidential Elections.” In Before the Vote: Forecasting American National Elections, ed. Campbell James E. and Garand James C.. Thousand Oaks, CA: Sage Publications, 169–87.
Jones Randall J. Jr. 2008. “The State of Presidential Election Forecasting: The 2004 Experience.” International Journal of Forecasting 24 (April–June): 310–21.
Mayhew David R. 2008. “Incumbency Advantage in U.S. Presidential Elections: The Historical Record.” Political Science Quarterly 123 (Spring): 201–28.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

PS: Political Science & Politics
  • ISSN: 1049-0965
  • EISSN: 1537-5935
  • URL: /core/journals/ps-political-science-and-politics
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Full text views

Total number of HTML views: 9
Total number of PDF views: 19 *
Loading metrics...

Abstract views

Total abstract views: 102 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 21st November 2017. This data will be updated every 24 hours.